Job Description
Are you ready to define the next era of artificial intelligence?
At Vertex Future Tech, we are on a mission to architect the infrastructure for Project 2026—a groundbreaking generative AI platform designed to revolutionize human-machine interaction. We are looking for a visionary AI Engineer to join our elite engineering team and build the models that will power the future.
In this role, you will not just write code; you will shape the fundamental algorithms that drive our next-generation AI ecosystem. You will collaborate with world-class researchers and engineers to deploy scalable, efficient, and ethical AI systems.
Why Join Us?
- Work on cutting-edge Generative AI and Large Language Models (LLMs).
- Competitive compensation and equity packages.
- Flexible work environment in the heart of San Francisco.
- Opportunity to impact millions of users globally.
Apply today and become a pioneer in the future of technology.
Responsibilities
- Lead the architectural design and training of large-scale transformer models and generative networks.
- Optimize inference pipelines and reduce latency in high-throughput environments.
- Collaborate with data scientists to curate high-quality datasets for model fine-tuning.
- Implement best practices for model deployment, monitoring, and MLOps.
- Conduct research to stay ahead of the curve in AI advancements, specifically in NLP and multimodal learning.
- Ensure model fairness, transparency, and robustness in production environments.
Qualifications
- Master’s or Ph.D. degree in Computer Science, Mathematics, Statistics, or a related field.
- 5+ years of professional experience in machine learning, deep learning, or AI research.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of deep learning architectures (Transformers, GANs, Diffusion Models).
- Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Excellent problem-solving skills and ability to work in a fast-paced, agile environment.